Real-time
Two-way sync
Changes in Ldap or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Ldap to Postgres Heroku integration — real-time, two-way sync
Keep Ldap and Postgres Heroku in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Why teams connect Ldap and Postgres Heroku
Keep Postgres Heroku and Ldap in step: the rows in your database and the Groups (groupOfNames / posixGroup), Organizational units (ou), Attributes, Operational attributes your engineering tools track stay consistent in real time, in both directions.
Postgres Heroku is where your application's durable data lives; Ldap is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs JSONB Columns, Sequences, Follower Databases, Tables in Postgres Heroku with Groups (groupOfNames / posixGroup), Organizational units (ou), Attributes, Operational attributes in Ldap field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Common use cases
- 01 Keep several Heroku app databases aligned with one system of record
- 02 Reflect billing and subscription records into the app database so product logic reads local rows
- 03 Keep group member and uniqueMember attributes aligned with application entitlement tables so directory access reflects the right teams as they change.
- 04 Two-way sync person and group entries between an LDAP directory (OpenLDAP or AD DS) and an HRIS or Postgres so joiners, movers, and leavers provision and deprovision automatically.
Common sync patterns
React to changes on either side in near real time
Updates in Ldap arrive as row changes in Postgres Heroku, and writes to Postgres Heroku propagate to Ldap within seconds, so triggers, jobs, and alerts fire without polling.
Where Ldap manages users or groups: keep identity aligned
Directory and identity records in Ldap stay matched to the users or owners table in Postgres Heroku, so provisioning and de-provisioning flow from one source.
Turn rows into the records your tools track
A new or changed row in Postgres Heroku creates or updates the matching record in Ldap, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
What you can sync between Ldap and Postgres Heroku
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Ldap objects | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Attributes The typed name/value pairs on each entry (cn, mail, memberOf, objectClass); the schema defines which attributes each objectClass allows, and mappings are built per attribute. | Schemas Namespaces that scope which tables a sync reads and writes. | Attributes is specific to Ldap and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Operational attributes Server-maintained metadata such as modifyTimestamp, createTimestamp, entryUUID, entryCSN, and uSNChanged; read to drive incremental polling and to key entries stably across syncs. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Operational attributes is specific to Ldap and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Schema (subschema subentry) The objectClass and attribute-type definitions the server exposes; read to validate that written attributes exist and are single- or multi-valued as expected. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Schema (subschema subentry) is specific to Ldap and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Entries The fundamental unit of an LDAP directory, each addressed by a distinguished name (DN) and typed by its objectClass; synced two-way as records, with the DN driving upserts and attribute-level updates. | Sequences Generate surrogate keys for rows created by inbound syncs. | Entries is specific to Ldap and Sequences to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Person entries (inetOrgPerson / user) People held under objectClasses such as inetOrgPerson, person, or Active Directory user; synced two-way to create accounts and update attributes like mail, cn, and telephoneNumber. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Person entries (inetOrgPerson / user) is specific to Ldap and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Groups (groupOfNames / posixGroup) Group entries whose member or uniqueMember attributes list DNs; synced two-way to add and remove membership as teams and entitlements change. | Tables Standard Postgres tables; the primary two-way sync target for app data. | Groups (groupOfNames / posixGroup) is specific to Ldap and Tables to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Ldap and Postgres Heroku
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Ldap Postgres Heroku Interval-based propagation
DetectionStacksync polls Ldap for changes on an incremental schedule, reading only records changed since the previous pass. No universal native change feed.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Ldap Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to Ldap through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Ldap: LDAP defines no request quota; throughput is bounded by the server's sizelimit and timelimit administrative limits, connection and thread caps, and the CPU/IO it shares with live authentication traffic, so large syncs can contend with production lookups and must page results.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Ldap ⇄ Postgres Heroku
Connect Ldap and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Ldap–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Ldap or Postgres Heroku data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Ldap or Postgres Heroku record.
Observability
Monitoring
Track your Ldap ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Ldap and Postgres Heroku.
How the Ldap and Postgres Heroku connectors work
Ldap
- Integration surface
- LDAPv3 protocol (RFC 4511) over TCP, typically LDAPS on port 636 or StartTLS on 389; reaches any LDAPv3 directory server - OpenLDAP, Microsoft Active Directory, 389 Directory Server, Oracle Unified Directory, PingDS/ForgeRock, NetIQ eDirectory, Apache Directory.
- Authentication
- A bind DN and password (simple bind), typically over TLS, using a service account with rights to the target subtree. SASL mechanisms - GSSAPI/Kerberos, DIGEST-MD5, or EXTERNAL with a client certificate - are available where the server supports them.
- Change detection
- No universal native change feed. Incremental sync polls the modifyTimestamp operational attribute (or entryCSN / uSNChanged on servers that expose them) for entries changed since the last cursor; detecting deletes needs a server changelog or tombstones because a plain search cannot see removed entries. Some servers add Persistent Search or RFC 4533 content-sync (syncrepl), but that support is server-specific. No webhooks.
- Capabilities
- read · write
- Rate limits
- LDAP defines no request quota; throughput is bounded by the server's sizelimit and timelimit administrative limits, connection and thread caps, and the CPU/IO it shares with live authentication traffic, so large syncs can contend with production lookups and must page results.
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Ldap to Postgres Heroku — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate Ldap and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Ldap
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Ldap and Postgres Heroku objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · Ldap ⇄ Postgres HerokuCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Ldap Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Ldap and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Ldap and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Ldap's Attributes and Operational attributes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Ldap and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Ldap: No universal native change feed. Incremental sync polls the modifyTimestamp operational attribute (or entryCSN / uSNChanged on servers that expose them) for entries changed since the last cursor; detecting deletes needs a server changelog or tombstones because a plain search cannot see removed entries. Some servers add Persistent Search or RFC 4533 content-sync (syncrepl), but that support is server-specific. No webhooks. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Postgres Heroku side: JSONB Columns, Sequences, Follower Databases, Tables, plus custom fields where Postgres Heroku exposes them. On the Ldap side: Groups (groupOfNames / posixGroup), Organizational units (ou), Attributes, Operational attributes. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Ldap and Postgres Heroku: React to changes on either side in near real time; Where Ldap manages users or groups: keep identity aligned; Turn rows into the records your tools track. Updates in Ldap arrive as row changes in Postgres Heroku, and writes to Postgres Heroku propagate to Ldap within seconds, so triggers, jobs, and alerts fire without polling.
SECURITY
Security teams trust Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 327 integrations available for Ldap and Postgres Heroku.
Popular · 6 of 327
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Ldap ⇄ PostgreSQL -
Ldap ⇄ Amazon RDS -
Ldap ⇄ Supabase -
Ldap ⇄ MySQL -
Postgres Heroku ⇄ Datadog -
Postgres Heroku ⇄ Jms
No integrations match .
